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OCR Workflow example

PDF-heavy research became easier to turn into evidence.

ER
Emma Rodriguez
Operations Researcher · Hudson Civic Lab - 24 people · New York, NY, USA
40
PDF pages processed for one report

The before

Emma used ChatGPT to draft reports, but public PDF sources were the bottleneck. Tables, scans, and long appendices had to be copied manually before analysis could begin.

The turning point

With MultipleChat, she runs OCR on the PDFs, extracts key tables and notes, then asks multiple models to summarize what the evidence does and does not support.

"ChatGPT helps me write. MultipleChat helps me get usable text out of the documents first."

— Emma Rodriguez, Operations Researcher

The after

Reports now have a faster evidence-gathering step. Emma still checks the source PDFs, but she no longer starts by manually retyping the material.

What they used

OCR workflow

Extract text and tables from public PDFs.

Compare mode

Summarize evidence with several models.

Report drafting

Feed cleaner source material into writing workflows.

OCR Research PDFs ChatGPT workflow

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